README.md

simmer

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simmer is a process-oriented and trajectory-based Discrete-Event Simulation (DES) package for R. Designed to be a generic framework like SimPy or SimJulia, it leverages the power of Rcpp to boost the performance and turning DES in R feasible. As a noteworthy characteristic, simmer exploits the concept of trajectory: a common path in the simulation model for entities of the same type. It is pretty flexible and simple to use, and leverages the chaining/piping workflow introduced by the magrittr package.

Extensions

Package | Description | Status ---------------- | ----------------------------------------------- | ------------------ simmer.plot | Plotting Methods for simmer | CRAN_Status_Badge simmer.bricks | Helper Methods for simmer Trajectories | CRAN_Status_Badge simmer.optim | Parameter Optimization Functions for simmer | Status_Badge simmer.json | Read / Load simmer Definitions in JSON Format | Status_Badge simmer.mon | Monitoring Backends for simmer | Status_Badge

Help

For bugs and/or issues, create a new issue on GitHub. For other questions or comments, please use the Discussions forum on GitHub.

Documentation

Documentation is available at r-simmer.org/reference. To get started, please explore our vignettes online, or in R:

vignette(package = "simmer")

Installation

Install the release version from CRAN:

install.packages("simmer")

The installation from GitHub requires the remotes package.

remotes::install_github("r-simmer/simmer")

Please note that the package contains some C++ code and thus you need a development environment to build the package (e.g., Rtools for Windows).

Hexagon stickers!

You can purchase simmer hex stickers on Redbubble (sticker 1, sticker 2). Browse there for more stuff such as T-shirts and mugs!

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Bart6114/simmer documentation built on Oct. 2, 2024, 4:52 p.m.